{"id":657567,"date":"2019-11-29T03:00:06","date_gmt":"2019-11-29T11:00:06","guid":{"rendered":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/?post_type=msr-research-item&#038;p=657567"},"modified":"2020-05-08T11:45:18","modified_gmt":"2020-05-08T18:45:18","slug":"msr-cambridge-lecture-series-an-introduction-to-graph-neural-networks-models-and-applications","status":"publish","type":"msr-video","link":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/video\/msr-cambridge-lecture-series-an-introduction-to-graph-neural-networks-models-and-applications\/","title":{"rendered":"MSR Cambridge Lecture Series: An Introduction to Graph Neural Networks: Models and Applications"},"content":{"rendered":"<p><strong>MSR Cambridge, AI Residency Advanced Lecture Series<\/strong><br \/>\n<strong>An Introduction to Graph Neural Networks: Models and Applications<\/strong><\/p>\n<p>Got it now: &#8220;Graph Neural Networks (GNN) are a general class of networks that work over graphs. By representing a problem as a graph \u2014 encoding the information of individual elements as nodes and their relationships as edges \u2014 GNNs learn to capture patterns within the graph. These networks have been successfully used in applications such as chemistry and program analysis. In this introductory talk, I will do a deep dive in the neural message-passing GNNs, and show how to create a simple GNN implementation. Finally, I will illustrate how GNNs have been used in applications.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>MSR Cambridge, AI Residency Advanced Lecture Series An Introduction to Graph Neural Networks: Models and Applications Got it now: &#8220;Graph Neural Networks (GNN) are a general class of networks that work over graphs. By representing a problem as a graph \u2014 encoding the information of individual elements as nodes and their relationships as edges \u2014 [&hellip;]<\/p>\n","protected":false},"featured_media":657570,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_hide_image_in_river":0,"footnotes":""},"research-area":[13561,13556],"msr-video-type":[],"msr-locale":[268875],"msr-post-option":[],"msr-session-type":[],"msr-impact-theme":[],"msr-pillar":[],"msr-episode":[],"msr-research-theme":[],"class_list":["post-657567","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-research-area-algorithms","msr-research-area-artificial-intelligence","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/zCEYiCxrL_0","msr_secondary_video_url":"","msr_video_file":"","_links":{"self":[{"href":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/657567","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-video"}],"about":[{"href":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-video"}],"version-history":[{"count":1,"href":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/657567\/revisions"}],"predecessor-version":[{"id":657573,"href":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/657567\/revisions\/657573"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/media\/657570"}],"wp:attachment":[{"href":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/media?parent=657567"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=657567"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=657567"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=657567"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=657567"},{"taxonomy":"msr-session-type","embeddable":true,"href":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-session-type?post=657567"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=657567"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=657567"},{"taxonomy":"msr-episode","embeddable":true,"href":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-episode?post=657567"},{"taxonomy":"msr-research-theme","embeddable":true,"href":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-research-theme?post=657567"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}